In this conversation with BizTechReports, Francesca Axam-Frederick, CEO and Co-founder of Grantyd, explores how artificial intelligence, automation, and digital workflows are reshaping the grant writing process. From solo fundraisers to institutional teams, the question is no longer whether to modernize, but how to do so without compromising mission, ethics, or voice.

As digital demands intensify across every sector of the economy, data centers are emerging as both vital infrastructure and operational bottlenecks. The exponential growth of AI, cloud services, and high-performance computing has placed new strains on power availability, cooling capacity, and skilled labor—forcing a rethinking of what it means to be “future-ready.”

As government grants shrink and private funders raise the bar on accountability and responsiveness, nonprofit organizations are navigating a complex new funding landscape—one where operational capacity, not just mission alignment, increasingly determines outcomes.

During a recent BizTechReports executive vidcast, data center infrastructure expert Cliff Federspiel offered a strategic lens into how the market is adapting. As founder, president, and CTO of Vigilent, a firm specializing in AI-powered data center management systems, Federspiel’s perspective reflects the pressures and priorities shaping investment decisions from hyperscalers to mid-sized enterprises.

Fueled by rising cybersecurity demands, vertical compliance requirements, and rapid advances in automation and AI, MSPs are evolving from reactive tech support shops into full-scale IT partners. But not all MSPs are keeping up with the pace of change.

As sports and entertainment venues across Europe prepare for a new era of digital transformation, artificial intelligence (AI), IP video technologies, and sustainability initiatives are poised to redefine fan experiences, operational efficiency, and long-term profitability.

In a time when enterprise IT leaders are facing a perfect storm of endpoint complexity, cloud sprawl, and heightened security risks, a new vision for the digital workspace is emerging. Omnissa, the end-user computing spinout from VMware following its acquisition by Broadcom, is aiming to redefine how organizations manage performance, productivity, and policy enforcement. 

As enterprises race to modernize their IT infrastructure, the need to unify end user computing (EUC) strategies is emerging as an increasingly critical priority, according to Christopher Reed, Chief Technology Officer for the Americas at Omnissa. In a recent BizTechReports executive vidcast interview, Reed urged technology leaders to rethink fragmented endpoint management approaches and move toward an autonomous workspace model capable of reducing risk, enhancing performance, and improving user experience.

n today’s serverless, hybrid, and cloud-native enterprise environment, the traditional focus on perimeter and endpoint security is rapidly becoming outdated. As data moves freely across SaaS platforms, multi-cloud architectures, and decentralized workforces, data must become the core of the enterprise security model, according to Karthik Krishnan, CEO and founder of Concentric AI, in a BizTechReports executive vidcast interview.

As enterprises accelerate digital transformation, IT leaders are confronting a stark reality: the old rules no longer apply. The traditional debate about “build vs. buy” has collapsed under the weight of complexity, speed, and scale. CIOs today must now manage hybrid ecosystems composed of SaaS platforms, legacy systems, custom apps, and rapidly evolving AI technologies.

In this vidcast interview with BizTechReports, Tiago Azevedo, CIO of a leading global software company, explains how integration, not ownership, has emerged as the new core competency.

Financial trading floors are built on speed, but many firms are relying on outdated video technology that may be costing them millions.

As markets move in fractions of a second, legacy video systems introduce costly delays, limit access to critical data, and complicate compliance with financial regulations. Experts say modern internet protocol (IP) video solutions offer a way forward, enabling real-time decision-making, improved transparency, and scalable global operations.

As financial services continue their digital acceleration, U.S. credit unions are reassessing their competitive position in a market dominated by larger, tech-savvy institutions. While these member-owned cooperatives have long differentiated themselves through personalized service and community orientation, industry experts say maintaining relevance will increasingly depend on strategic investments in cloud-based technologies, artificial intelligence (AI), and modern service infrastructure.

“Credit unions are still known for knowing their members by name,” said Matt McKernan, Senior Vice President of the Americas at Content Guru, cloud customer experience (CX) provider, in a vidcast interview with BizTechReports.

With artificial intelligence, edge computing, and real-time analytics continuing to push the capacity of digital infrastructure, mid-market enterprises are often caught between consumer-grade cloud services and enterprise-scale solutions to meet the emerging demands of their business requirements. Long considered secondary targets for infrastructure providers, leaders in these organizations are now confronting the limitations of one-size-fits-all cloud models and rediscovering the strategic relevance of regional data centers. 

The shift is not a matter of nostalgia or resistance to modernization. Rather, it reflects a deeper understanding of cost structures, accountability, and the practical realities of operating hybrid environments in an era of ballooning cloud bills and increasingly fragile IT control. So says NYI Co-founder and COO Philip Koblence.

While most business technology has focused on automating structured processes, a growing share of inefficiencies in finance operations remain tied to tasks that don’t follow neat rules or formats. According to executives from Lumina Data (https://www.luminadata.ai/), artificial intelligence (AI) is now poised to address these challenges—starting with unstructured tasks in finance departments

In a recent BizTechReports vidcast interview, Lumina Data co-founders Afrozy Ara and Deepti Chafekar, discussed how goal-based AI agents can work alongside humans to streamline processes, reduce error rates, and enable faster financial operations without requiring companies to replace their existing systems.

The cybersecurity landscape is undergoing a dramatic shift. As threats grow more complex and attackers adopt AI-driven tools, defenders are being forced to evolve just as quickly — not just in tactics, but in technology. That evolution is ushering in a new era, where artificial intelligence isn’t merely a tool, but a workforce.

According to Ambuj Kumar, Co-founder and CEO of cybersecurity company Simbian, intelligent AI agents are now doing what was once the exclusive domain of human analysts: investigating alerts, remediating vulnerabilities, and adapting to organizational processes — all at machine speed and scale.

As the global technology community returns from Barcelona, which hosted the Mobile Word Congress 2025 conference, a significant amount of discussion revolved around how the rapid rise in mobile video consumption is straining network infrastructure. This is making the adoption of more efficient video compression technologies an urgent priority, according to Aytac Biber, Director of Product at Qualcomm and a board member of the Media Coding Industry Forum (MC-IF).

As industries navigate rapid technological and economic shifts, business leaders are reassessing how they integrate emerging technologies with traditional operations to thrive in the "innovation economy." 

In a vidcast interview with BizTechReports, Belden CEO Ashish Chand put this conundrum into context by: outlining the key developments shaping industrial automation; describing the convergence of IT and operational technology (OT) in industrial settings; and explaining the evolving role of artificial intelligence (AI) in advancing innovative business strategies.

Free Advertising Supported Streaming (FAST) channels and Ad-supported Video on Demand (AVOD), implementation by TV and device manufacturers and the expansion of availability of HDR content as a result of NEXTGEN TV's continued rollout in the US market drove industry adoption of High Dynamic Range (HDR) technology, during 2024 and is creating new levels of enthusiasm for the latest innovations being brought to market in 2025, including those introduced by Advanced HDR by Technicolor. Advanced HDR by Technicolor operates under a brand license from Technicolor as a collaboration between InterDigital and Philips.

So said Valérie Allie, Senior Director of the Media Services Group at InterDigital, in a vidcast interview for journalists. She pointed out that these industry advances are accelerating consumers' ability to experience the enhancements in HDR content for themselves.  

As artificial intelligence (AI) reshapes the enterprise technology landscape, industry leaders are rethinking modernization strategies to balance agility, security, and compliance. That was the key takeaway from a recent CIO Magazine roundtable, co-hosted by Skyla Loomis, Vice President of IBM Z Software, and John Currie, Partner, Mainframe Application Modernization at IBM.

Mid-market executives must shift their focus from technology adoption and workforce changes to reengineering core business processes as artificial intelligence (AI) reshapes industries at an unprecedented pace, according to Alex Castro, CEO of 11:59 (https://www.1159.ai/). 

Speaking in a recent BizTechReports vidcast, Castro emphasized that while AI tools and talent are essential, they are secondary to the fundamental restructuring of operational workflows.